import numpy as np
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r = [e * 100 for e in r]
b = [e * 100 for e in b]

#low_idxs = []
#for idx, score in enumerate(r):
#    if score <= 10:
#        low_idxs.append((idx+1, score))
#for low_idx in low_idxs:
#    print(low_idx)

print(len(r))
# Compute frequency and bins
frequency, bins = np.histogram(r, bins=20, range=[0, 100])
frequency = [e / 50 for e in frequency]

print('RougeL:', sum(r)/len(r))
# Pretty Print
for bin, f in zip(bins[1:], frequency):
    print(round(bin, 1), ' '.join(np.repeat('*', f)))

# Compute frequency and bins
frequency, bins = np.histogram(b, bins=20, range=[0, 100])
frequency = [e / 50 for e in frequency]

print('Bleu4:', sum(b)/len(b))
# Pretty Print
for bin, f in zip(bins[1:], frequency):
    print(round(bin, 1), ' '.join(np.repeat('*', f)))
